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中级

实现服务降级策略

未完成
中级参考 代码结构已给出，请填写 ____ 处 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    products_csv = open_url(____).read()
    import pandas as pd
    from io import StringIO
    products = pd.read_csv(StringIO(____))
    def get_recommendations_primary(____):
        raise ConnectionError(____)
    def get_recommendations_fallback(____):
        top = products_df.nlargest(____, '____')[['____','____','____']].to_dict(____)
        return {'____':'____','____':top}
    def get_static_fallback():
        return {'____':'____','____':[{'____':____,'____':'____','____':____}]}
    def get_recommendations(____):
        try:
            return get_recommendations_primary(____)
        except ConnectionError as e:
            print(____)
            try:
                return get_recommendations_fallback(____)
            except Exception as e2:
                print(____)
                return get_static_fallback()
    result = get_recommendations(____)
    print(____)
    print(____)

示例

输入
solve()
期望输出
Primary failed: recommendation-service unavailable
source: fallback_popular
items: ['咖啡豆500g', '运动水壶', '保温杯', '无线蓝牙耳机', '办公鼠标']
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